Data Warehouse Data Mining

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Data Mining and Data Warehousing

Author : Parteek Bhatia
Publisher : Cambridge University Press
ISBN 13 : 110858585X
Total Pages : pages
Book Rating : 4.1/5 (85 download)

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Book Synopsis Data Mining and Data Warehousing by : Parteek Bhatia

Download or read book Data Mining and Data Warehousing written by Parteek Bhatia and published by Cambridge University Press. This book was released on 2019-04-30 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and operational data store are discussed comprehensively. The textbook is written to cater to the needs of undergraduate students of computer science, engineering and information technology for a course on data mining and data warehousing. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big data analytics, relational data models and NoSQL are discussed in detail. Pedagogical features including unsolved problems and multiple-choice questions are interspersed throughout the book for better understanding.

Encyclopedia of Data Warehousing and Mining

Author : Wang, John
Publisher : IGI Global
ISBN 13 : 1591405599
Total Pages : 1382 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Encyclopedia of Data Warehousing and Mining by : Wang, John

Download or read book Encyclopedia of Data Warehousing and Mining written by Wang, John and published by IGI Global. This book was released on 2005-06-30 with total page 1382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly exciting and industrially relevant area of research. Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and helping make informed decisions, is the challenge that lies ahead. The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of data warehousing and mining (DWM). This encyclopedia consists of more than 350 contributors from 32 countries, 1,800 terms and definitions, and more than 4,400 references. This authoritative publication offers in-depth coverage of evolutions, theories, methodologies, functionalities, and applications of DWM in such interdisciplinary industries as healthcare informatics, artificial intelligence, financial modeling, and applied statistics, making it a single source of knowledge and latest discoveries in the field of DWM.

Data Warehousing and Data Mining Techniques for Cyber Security

Author : Anoop Singhal
Publisher : Springer Science & Business Media
ISBN 13 : 0387476539
Total Pages : 166 pages
Book Rating : 4.3/5 (874 download)

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Book Synopsis Data Warehousing and Data Mining Techniques for Cyber Security by : Anoop Singhal

Download or read book Data Warehousing and Data Mining Techniques for Cyber Security written by Anoop Singhal and published by Springer Science & Business Media. This book was released on 2007-04-06 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of data warehousing and data mining techniques to computer security is an important emerging area, as information processing and internet accessibility costs decline and more and more organizations become vulnerable to cyber attacks. These security breaches include attacks on single computers, computer networks, wireless networks, databases, or authentication compromises. This book describes data warehousing and data mining techniques that can be used to detect attacks. It is designed to be a useful handbook for practitioners and researchers in industry, and is also suitable as a text for advanced-level students in computer science.

Modern Data Warehousing, Mining, and Visualization

Author : George M. Marakas
Publisher :
ISBN 13 :
Total Pages : 300 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Modern Data Warehousing, Mining, and Visualization by : George M. Marakas

Download or read book Modern Data Warehousing, Mining, and Visualization written by George M. Marakas and published by . This book was released on 2003 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: For undergraduate/graduate-level Data Mining or Data Warehousing courses in Information Systems or Operations Management Departments electives. Taking a multidisciplinary user/manager approach, this text looks at data warehousing technologies necessary to support the business processes of the twenty-first century. Using a balanced professional and conversational approach, it explores the basic concepts of data mining, warehousing, and visualization with an emphasis on both technical and managerial issues and the implication of these modern emerging technologies on those issues. Data mining and visualization exercises using an included fully-enabled, but time-limited version of Megaputer's PolyAnalyst and TextAnalyst data mining and visualization software give students hands-on experience with real-world applications.

Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions

Author : Furtado, Pedro Nuno San-Banto
Publisher : IGI Global
ISBN 13 : 1605668176
Total Pages : 364 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions by : Furtado, Pedro Nuno San-Banto

Download or read book Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions written by Furtado, Pedro Nuno San-Banto and published by IGI Global. This book was released on 2009-09-30 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides insight into the latest findings concerning data warehousing, data mining, and their applications in everyday human activities"--Provided by publisher.

Integrations of Data Warehousing, Data Mining and Database Technologies

Author : David Taniar
Publisher : IGI Global
ISBN 13 : 9781609605377
Total Pages : 0 pages
Book Rating : 4.6/5 (53 download)

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Book Synopsis Integrations of Data Warehousing, Data Mining and Database Technologies by : David Taniar

Download or read book Integrations of Data Warehousing, Data Mining and Database Technologies written by David Taniar and published by IGI Global. This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides a comprehensive compilation of knowledge covering state-of-the-art developments and research, as well as current innovative activities in data warehousing and mining, focusing on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real world problems"--Provided by publisher.

Building the Data Warehouse

Author : W. H. Inmon
Publisher : John Wiley & Sons
ISBN 13 : 0471270482
Total Pages : 434 pages
Book Rating : 4.4/5 (712 download)

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Book Synopsis Building the Data Warehouse by : W. H. Inmon

Download or read book Building the Data Warehouse written by W. H. Inmon and published by John Wiley & Sons. This book was released on 2002-10-01 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: The data warehousing bible updated for the new millennium Updated and expanded to reflect the many technological advances occurring since the previous edition, this latest edition of the data warehousing "bible" provides a comprehensive introduction to building data marts, operational data stores, the Corporate Information Factory, exploration warehouses, and Web-enabled warehouses. Written by the father of the data warehouse concept, the book also reviews the unique requirements for supporting e-business and explores various ways in which the traditional data warehouse can be integrated with new technologies to provide enhanced customer service, sales, and support-both online and offline-including near-line data storage techniques.

Intelligent Data Warehousing

Author : Zhengxin Chen
Publisher : CRC Press
ISBN 13 : 1420040618
Total Pages : 256 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Intelligent Data Warehousing by : Zhengxin Chen

Download or read book Intelligent Data Warehousing written by Zhengxin Chen and published by CRC Press. This book was released on 2001-12-13 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effective decision support systems (DSS) are quickly becoming key to businesses gaining a competitive advantage, and the effectiveness of these systems depends on the ability to construct, maintain, and extract information from data warehouses. While many still perceive data warehousing as a subdiscipline of management information systems (MIS), in fact many of its advances have and will continue to come from the computer science arena. Intelligent Data Warehousing presents the state of the art in data warehousing research and practice from a perspective that integrates business applications and computer science. It brings the intelligent techniques associated with artificial intelligence (AI) to the entire process of data warehousing, including data preparation, storage, and mining. Part I provides an overview of the main ideas and fundamentals of data mining, artificial intelligence, business intelligence, and data warehousing. Part II presents core materials on data warehousing, and Part III explores data analysis and knowledge discovery in the data warehousing environment, including how to perform intelligent data analysis and the discovery of influential association patterns. Bridging the gap between theoretical research and business applications, this book summarizes the main ideas behind recent research developments rather than setting forth technical details, and it presents case studies that show the how-to's of implementing these ideas. The result is a practical, first-of-its-kind book that brings together scattered research, unites MIS with computer science, and melds intelligent techniques with data warehousing.

Data Warehousing Olap And Data Mining

Author : S. Nagabhushana
Publisher : New Age International
ISBN 13 : 8122417647
Total Pages : 22 pages
Book Rating : 4.1/5 (224 download)

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Book Synopsis Data Warehousing Olap And Data Mining by : S. Nagabhushana

Download or read book Data Warehousing Olap And Data Mining written by S. Nagabhushana and published by New Age International. This book was released on 2006 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Book Is Mainly Intended For It Students And Professionals To Learn Or Implement Data Warehousing Technologies. It Experiences The Real-Time Environment And Promotes Planning, Managing, Designing, Implementing, Supporting, Maintaining And Analyzing Data Warehouse In Organizations And It Also Provides Various Mining Techniques As Well As Issues In Practical Use Of Data Mining Tools.The Book Is Designed For The Target Audience Such As Specialists, Trainers And It Users. It Does Not Assume Any Special Knowledge As Background. Understanding Of Computer Use, Databases And Statistics Will Be Helpful.

Data Mining: Concepts and Techniques

Author : Jiawei Han
Publisher : Elsevier
ISBN 13 : 0123814804
Total Pages : 740 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Data Mining: Concepts and Techniques by : Jiawei Han

Download or read book Data Mining: Concepts and Techniques written by Jiawei Han and published by Elsevier. This book was released on 2011-06-09 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

DATA MINING AND WAREHOUSING

Author : Khusboo Saxena/Sandeep Saxena/Akash Saxena
Publisher : BPB Publications
ISBN 13 : 9387284719
Total Pages : 121 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis DATA MINING AND WAREHOUSING by : Khusboo Saxena/Sandeep Saxena/Akash Saxena

Download or read book DATA MINING AND WAREHOUSING written by Khusboo Saxena/Sandeep Saxena/Akash Saxena and published by BPB Publications. This book was released on 2018-06-06 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Description:The book has been written in such a way that the concepts are explained in detail, giving adequate emphasis on examples. To make clarity on the topic, diagrams are given extensively throughout the text. The book discusses design issues for phases of mining in substantial depth. The stress is more on problem solving.Various Comprehensive coverage of various aspects of Data Mining and Warehousing conceptsStrictly in accordance for the syllabus covered under B.E./B.Tech/MCASimple language, crystal clear approach, straight forward comprehensible presentationAdopting user friendly classroom lecture styleThe concepts are duly supported by sever examplesSyllabus coverage of three universities UPTU, RTU and RGPVTable Of Contents:Chapter 1 : Introduction To Data MiningChapter 2 : Concept DescriptionChapter 3 : Association Rule MiningChapter 4 : Classification and PredictionsChapter 5 : Cluster AnalysisChapter 6 : Introduction to Data WarehouseChapter 7 : OLAP TechnologyChapter 8 : Advance Topic On Data Mining and Warehousing

Introduction to Data Mining and its Applications

Author : S. Sumathi
Publisher : Springer
ISBN 13 : 3540343512
Total Pages : 828 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Introduction to Data Mining and its Applications by : S. Sumathi

Download or read book Introduction to Data Mining and its Applications written by S. Sumathi and published by Springer. This book was released on 2006-10-12 with total page 828 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization.

Web Warehousing and Knowledge Management

Author : Rob Mattison
Publisher : McGraw-Hill Companies
ISBN 13 :
Total Pages : 616 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Web Warehousing and Knowledge Management by : Rob Mattison

Download or read book Web Warehousing and Knowledge Management written by Rob Mattison and published by McGraw-Hill Companies. This book was released on 1999 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text explains the applications, architecture, and implementation issues of Web data warehousing. The book also features the tools that people use to find patterns within a database stored to the Internet which can be shared with suppliers.

Data Warehousing, Data Mining, and OLAP

Author :
Publisher :
ISBN 13 : 9787506241199
Total Pages : 612 pages
Book Rating : 4.2/5 (411 download)

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Book Synopsis Data Warehousing, Data Mining, and OLAP by :

Download or read book Data Warehousing, Data Mining, and OLAP written by and published by . This book was released on 1999 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Learn Data Warehousing in 24 Hours

Author : Alex Nordeen
Publisher : Guru99
ISBN 13 :
Total Pages : 111 pages
Book Rating : 4./5 ( download)

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Book Synopsis Learn Data Warehousing in 24 Hours by : Alex Nordeen

Download or read book Learn Data Warehousing in 24 Hours written by Alex Nordeen and published by Guru99. This book was released on 2020-09-15 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlike popular belief, Data Warehouse is not a single tool but a collection of software tools. A data warehouse will collect data from diverse sources into a single database. Using Business Intelligence tools, meaningful insights are drawn from this data. The best thing about “Learn Data Warehousing in 1 Day" is that it is small and can be completed in a day. With this e-book, you will be enough knowledge to contribute and participate in a Data warehouse implementation project. The book covers upcoming and promising technologies like Data Lakes, Data Mart, ELT (Extract Load Transform) amongst others. Following are detailed topics included in the book Table Of Content Chapter 1: What Is Data Warehouse? 1. What is Data Warehouse? 2. Types of Data Warehouse 3. Who needs Data warehouse? 4. Why We Need Data Warehouse? 5. Data Warehouse Tools Chapter 2: Data Warehouse Architecture 1. Characteristics of Data warehouse 2. Data Warehouse Architectures 3. Datawarehouse Components 4. Query Tools Chapter 3: ETL Process 1. What is ETL? 2. Why do you need ETL? 3. ETL Process 4. ETL tools Chapter 4: ETL Vs ELT 1. What is ETL? 2. Difference between ETL vs. ELT Chapter 5: Data Modeling 1. What is Data Modelling? 2. Types of Data Models 3. Characteristics of a physical data model Chapter 6: OLAP 1. What is Online Analytical Processing? 2. Types of OLAP systems 3. Advantages and Disadvantages of OLAP Chapter 7: Multidimensional Olap (MOLAP) 1. What is MOLAP? 2. MOLAP Architecture 3. MOLAP Tools Chapter 8: OLAP Vs OLTP 1. What is the meaning of OLAP? 2. What is the meaning of OLTP? 3. Difference between OLTP and OLAP Chapter 9: Dimensional Modeling 1. What is Dimensional Model? 2. Elements of Dimensional Data Model 3. Attributes 4. Difference between Dimension table vs. Fact table 5. Steps of Dimensional Modelling 6. Rules for Dimensional Modelling Chapter 10: Star and SnowFlake Schema 1. What is Multidimensional schemas? 2. What is a Star Schema? 3. What is a Snowflake Schema? 4. Difference between Start Schema and Snowflake Chapter 11: Data Mart 1. What is Data Mart? 2. Type of Data Mart 3. Steps in Implementing a Datamart Chapter 12: Data Mart Vs Data Warehouse 1. What is Data Warehouse? 2. What is Data Mart? 3. Differences between a Data Warehouse and a Data Mart Chapter 13: Data Lake 1. What is Data Lake? 2. Data Lake Architecture 3. Key Data Lake Concepts 4. Maturity stages of Data Lake Chapter 14: Data Lake Vs Data Warehouse 1. What is Data Warehouse? 2. What is Data Lake? 3. Key Difference between the Data Lake and Data Warehouse Chapter 15: What Is Business Intelligence? 1. What is Business Intelligence 2. Why is BI important? 3. How Business Intelligence systems are implemented? 4. Four types of BI users Chapter 16: Data Mining 1. What is Data Mining? 2. Types of Data 3. Data Mining Process 4. Modelling 5. Data Mining Techniques Chapter 17: Data Warehousing Vs Data Mining 1. What is Data warehouse? 2. What Is Data Mining? 3. Difference between Data mining and Data Warehousing?

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications

Author : Wang, John
Publisher : IGI Global
ISBN 13 : 159904952X
Total Pages : 4092 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications by : Wang, John

Download or read book Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications written by Wang, John and published by IGI Global. This book was released on 2008-05-31 with total page 4092 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.

Data Mining and Warehousing

Author : S. Prabhu
Publisher : New Age International
ISBN 13 : 8122419720
Total Pages : 11 pages
Book Rating : 4.1/5 (224 download)

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Book Synopsis Data Mining and Warehousing by : S. Prabhu

Download or read book Data Mining and Warehousing written by S. Prabhu and published by New Age International. This book was released on 2007-12 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining is the process of analyzing large amount of data in search of previously undiscovered business patterns. Data Warehousing is a relational/multidimensional database that is designed for Query and Analysis rather than Transaction Processing. This book provides a systematic introduction to the principles of Data Mining and Data Warehousing. It covers the entire range of data mining algorithms (prediction, classification, and association), data mining products and applications, stages.